• DocumentCode
    2826830
  • Title

    Adaptive plenoptic sampling

  • Author

    Gilliam, Christopher ; Dragotti, Pier Luigi ; Brookes, Mike

  • Author_Institution
    Electr. & Electron. Eng. Dept., Imperial Coll., London, UK
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    2581
  • Lastpage
    2584
  • Abstract
    The plenoptic function enables Image-based rendering (IBR) to be viewed in terms of sampling and reconstruction. Thus the spatial sampling rate can be determined through spectral analysis of the plenoptic function. In this paper we present a method of non-uniformly sampling a scene, with a smoothly varying surface, given a finite number of samples. This method approximates such a scene with a set of slanted planes subject to the constraint of finite number of samples. We use the recent spectral analysis of a single slanted plane to determine a piecewise constant spatial sampling rate for the scene. Finally, we show that this sampling rate results in a non-uniform sampling scheme that reconstructs the plenoptic function beyond that of uniform sampling.
  • Keywords
    image reconstruction; rendering (computer graphics); spectral analysis; adaptive plenoptic sampling; image based rendering; plenoptic function reconstruction; slanted planes; spectral analysis; Approximation methods; Cameras; Image reconstruction; Nickel; Resource management; Spectral analysis; Surface reconstruction; Image-Based Rendering; Plenoptic sampling; adaptive sampling; spectral analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2011 18th IEEE International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4577-1304-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2011.6116192
  • Filename
    6116192